Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "56" csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 77 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_ Found 73 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
antnum = row['Ant']
if antnum != int(antenna):
continue
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459594 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.08% | 27.57% | 0.519918 | -0.655613 | 0.533709 | 0.700942 | -0.480421 | 2.043359 | -0.152767 | 0.319137 | 0.7795 | 0.7723 | 0.2287 | 5.778504 | 5.428725 |
| 2459593 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.69% | 11.83% | -0.602293 | 0.993866 | 1.117561 | 1.467656 | -0.034987 | 2.308423 | -0.437179 | 2.196306 | 0.7077 | 0.6939 | 0.2166 | 2.314819 | 2.185949 |
| 2459592 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.126679 | 0.021317 | -0.119416 | -0.034944 | 0.637851 | 1.257905 | 1.492274 | 0.073353 | 0.0520 | 0.0446 | 0.0008 | nan | nan |
| 2459591 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.621972 | 0.952564 | 1.350793 | 2.280925 | -0.628132 | 2.557635 | 0.625261 | 6.122019 | 0.6113 | 0.6120 | 0.3198 | 6.710805 | 6.134272 |
| 2459590 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.377835 | 1.216001 | 0.683831 | 1.300772 | 0.140444 | 5.581816 | 0.222707 | 5.719137 | 0.6115 | 0.6093 | 0.3143 | 5.813613 | 5.136951 |
| 2459589 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.69% | 35.48% | -1.054850 | 1.165897 | 0.059459 | 0.074866 | -0.852351 | 0.648701 | -0.624679 | 0.143306 | 0.6834 | 0.6678 | 0.2408 | 2.963202 | 2.589889 |
| 2459588 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.69% | 2.69% | -0.265552 | 0.633971 | 1.515072 | 1.600675 | -0.865092 | 2.636684 | -0.632366 | 2.212752 | 0.7614 | 0.7416 | 0.1951 | 4.285036 | 3.320787 |
| 2459587 | digital_ok | 100.00% | - | - | - | 100.00% | 0.00% | -0.220426 | 2.134764 | 8.760639 | 10.122720 | -23.333991 | -23.858603 | -4.675000 | -4.393628 | nan | nan | nan | 6.955812 | 6.018787 |
| 2459586 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.16% | 28.65% | -0.473549 | 0.097588 | 0.445514 | 0.792937 | 0.142719 | 2.050232 | -0.612665 | 2.190887 | 0.6196 | 0.6197 | 0.3037 | 2.009399 | 1.895141 |
| 2459585 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 1.557455 | 2.101878 | 0.637788 | 0.917850 | 0.003392 | -0.149006 | 0.363489 | 0.012953 | 0.0459 | 0.0386 | 0.0006 | 0.000000 | 0.000000 |
| 2459584 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 4.793216 | 5.212639 | 9.157370 | 6.643156 | 12.894364 | 23.312767 | 38.340952 | 38.499307 | 0.5776 | 0.5788 | 0.3124 | 10.448839 | 0.000000 |
| 2459583 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.713861 | 0.346589 | 3.132386 | 3.666543 | 1.571621 | 5.334683 | -0.935321 | -0.074224 | 0.6227 | 0.6194 | 0.3260 | 5.958723 | 4.953380 |
| 2459582 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.441358 | 0.883520 | 3.042280 | 2.976359 | 2.287666 | 6.299499 | -1.075550 | -0.412364 | 0.6045 | 0.6017 | 0.3340 | 5.096624 | 3.761821 |
| 2459581 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.572799 | 0.552144 | 2.560611 | 3.347292 | 1.732948 | 5.266905 | -0.803137 | -0.122395 | 0.6215 | 0.6191 | 0.3259 | 4.067184 | 3.579107 |
| 2459580 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.573160 | 0.669095 | 3.475046 | 3.560966 | 2.595936 | 6.160685 | -0.424777 | 3.183537 | 0.6199 | 0.6233 | 0.3261 | 7.913059 | 5.969030 |
| 2459579 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.385160 | 0.903664 | 4.100284 | 4.034927 | 2.367148 | 6.094885 | -1.025354 | 1.190005 | 0.6151 | 0.6185 | 0.3276 | 5.357556 | 4.415790 |
| 2459578 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.981922 | 1.733606 | 0.428343 | 1.073934 | -0.335631 | 0.991429 | -0.247429 | -0.665770 | 0.0470 | 0.0392 | 0.0016 | nan | nan |
| 2459577 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.554592 | 0.469591 | 2.445020 | 2.959992 | 1.519363 | 5.034778 | -0.741727 | 1.677551 | 0.6220 | 0.6237 | 0.3229 | 4.940126 | 3.982821 |
| 2459576 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.84% | 1.08% | -0.475445 | 0.020298 | 1.682772 | 1.764548 | 1.336615 | 2.894572 | -1.054683 | -0.888420 | 0.6290 | 0.6335 | 0.3267 | 1.533755 | 1.519934 |
| 2459575 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459574 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 9.19% | 2.16% | -0.755668 | 0.940300 | 1.559699 | 1.678672 | 0.542208 | 2.275272 | -0.785426 | 1.545483 | 0.6352 | 0.6384 | 0.3258 | 1.622386 | 1.510651 |
| 2459573 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.392886 | 2.522527 | 4.208720 | 4.856922 | 1.953106 | 7.155092 | -0.102657 | 7.515283 | 0.6279 | 0.6236 | 0.3278 | 0.000000 | 0.000000 |
| 2459572 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.160251 | 2.493503 | 1.779406 | 1.898075 | 1.002686 | 3.555433 | -0.386140 | 5.174797 | 0.6253 | 0.6225 | 0.3277 | 5.634291 | 4.796355 |
| 2459571 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.970760 | 1.455601 | 0.448117 | 0.881245 | -0.539704 | 1.322016 | -0.407379 | -0.225034 | 0.0407 | 0.0411 | 0.0012 | nan | nan |
| 2459570 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.32% | 0.54% | 0.371417 | 0.378130 | 0.214532 | 0.324690 | -0.028644 | 0.407055 | -0.484897 | -0.022734 | 0.6149 | 0.6162 | 0.3091 | 1.365871 | 1.320279 |
| 2459569 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.41% | 0.00% | -0.624656 | 1.293119 | 1.915757 | 2.243508 | 1.080874 | 1.356200 | 1.098217 | 2.008220 | 0.7357 | 0.7327 | 0.2028 | 1.909038 | 1.736683 |
| 2459566 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.327761 | 1.641686 | 2.624302 | 3.007506 | 1.504551 | 4.862859 | -0.457361 | 3.684776 | 0.6160 | 0.6196 | 0.3415 | 2.853173 | 2.547866 |
| 2459565 | digital_ok | 100.00% | - | - | - | 100.00% | 0.00% | 101145.661413 | 126326.874038 | 4974095.770800 | 4988647.454360 | nan | nan | -5.052525 | -5.052525 | nan | nan | nan | 0.000000 | 0.000000 |
| 2459564 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.20% | 4.05% | 2.464953 | 2.529044 | 2.903660 | 2.841897 | 0.216955 | 0.144197 | -1.776553 | -0.559654 | 0.6316 | 0.6215 | 0.3248 | 1.950973 | 1.640423 |
| 2459563 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 6.450163 | 6.442283 | 24.063451 | 24.242722 | 13.081125 | 16.402177 | -1.435097 | -0.411220 | 0.6112 | 0.6048 | 0.3331 | 5.257109 | 4.719995 |
| 2459562 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 1.62% | 1.446674 | 1.424022 | 1.015320 | 1.007338 | -0.074996 | 0.116328 | -1.328722 | -0.544838 | 0.6207 | 0.6179 | 0.3245 | 1.742907 | 1.673271 |
| 2459561 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 80.00% | 2.077630 | 2.031508 | 1.584806 | 1.650896 | 0.348587 | 0.628793 | -1.879060 | -1.410838 | 0.6255 | 0.6255 | 0.3232 | 4.950923 | 3.979287 |
| 2459560 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.41% | 75.14% | 1.598893 | 1.701652 | 1.178354 | 1.410447 | 0.355794 | 1.000025 | -1.527538 | -0.748587 | 0.6039 | 0.5999 | 0.3355 | 3.295523 | 2.860662 |
| 2459559 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.38% | 83.87% | 2.167892 | 2.347122 | 1.732134 | 1.856329 | 0.748640 | 1.420603 | -1.405381 | -0.678648 | 0.6291 | 0.6257 | 0.3223 | 3.421734 | 2.699783 |
| 2459558 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459557 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0497 | 0.0440 | 0.0012 | nan | nan |
| 2459556 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 6.787475 | 7.200186 | 13.439053 | 13.091779 | 12.932120 | 14.715036 | -1.952685 | -0.368872 | 0.6359 | 0.6229 | 0.3217 | 6.918020 | 4.849836 |
| 2459554 | digital_ok | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.6147 | 0.6022 | 0.3336 | nan | nan |
| 2459553 | digital_ok | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.6286 | 0.6162 | 0.3304 | nan | nan |
| 2459552 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 7.565817 | 7.668829 | 17.417433 | 17.947460 | 19.450135 | 22.265908 | 0.301751 | 2.621171 | 0.6413 | 0.6292 | 0.3290 | 0.000000 | 0.000000 |
| 2459551 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.38% | 72.04% | 1.563298 | 1.849134 | 1.510220 | 1.660766 | 0.198311 | 1.132390 | -1.988449 | -0.749977 | 0.6279 | 0.6196 | 0.3221 | 3.844431 | 2.863775 |
| 2459550 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0437 | 0.0365 | 0.0020 | nan | nan |
| 2459549 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 5.946389 | 6.301366 | 12.920064 | 13.221998 | 13.875894 | 15.988991 | -2.123480 | -0.272305 | 0.6316 | 0.6225 | 0.3314 | 5.295611 | 4.511521 |
| 2459542 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 6.651196 | 6.660328 | 25.728561 | 26.436767 | 0.443994 | 1.102999 | -1.978626 | 1.148341 | 0.6912 | 0.6790 | 0.3061 | 5.244264 | 3.668646 |
| 2459541 | digital_ok | 100.00% | 1.79% | 1.79% | 0.00% | 100.00% | 0.00% | 6.070989 | 5.678920 | 15.998377 | 15.525184 | 10.079441 | 12.158634 | 4.166427 | 5.266539 | 0.6905 | 0.6735 | 0.2819 | 2.567920 | 2.274878 |
| 2459540 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 21.88% | 58.48% | 3.228782 | 3.170347 | 3.031517 | 2.905563 | 0.995335 | 1.684114 | -0.932713 | 0.364893 | 0.6925 | 0.6743 | 0.3023 | 3.316318 | 2.566035 |
| 2459536 | digital_ok | 100.00% | 37.06% | 37.06% | 0.00% | 100.00% | 0.00% | 8.942000 | 9.590983 | 21.212976 | 21.566303 | 20.162004 | 21.820278 | -3.483466 | -1.036237 | 0.4253 | 0.4238 | 0.2074 | 1.604758 | 1.388580 |
| 2459535 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 2.245546 | 2.333274 | 2.414075 | 2.572815 | 2.498965 | 1.520463 | -0.601468 | -0.329197 | 0.0737 | 0.0698 | 0.0105 | 1.208915 | 1.208290 |
| 2459534 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 1.781800 | 2.102825 | 1.567148 | 1.764199 | -0.307319 | 0.493932 | -1.245203 | -0.152819 | 0.0900 | 0.0820 | 0.0111 | 1.171957 | 1.167596 |
| 2459533 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 7.077486 | 7.139714 | 13.599700 | 13.690179 | 11.960042 | 14.888935 | -2.513334 | -0.810689 | 0.0812 | 0.0776 | 0.0105 | 1.198473 | 1.200364 |
| 2459532 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 8.289695 | 8.319445 | 17.733643 | 17.404728 | 14.766171 | 17.626252 | -2.164672 | -1.427013 | 0.0736 | 0.0754 | 0.0103 | 0.837142 | 0.835517 |
| 2459530 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 1.698810 | 1.936317 | 1.377167 | 1.434573 | 0.320384 | 1.225791 | -1.469955 | 0.059993 | 0.0808 | 0.0822 | 0.0123 | 1.185123 | 1.182900 |
| 2459527 | digital_ok | 0.00% | - | - | - | 100.00% | 0.00% | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459524 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 7.729263 | 8.905247 | 14.461365 | 14.457115 | 28.623999 | 24.676907 | -1.774424 | -0.199581 | 0.9054 | 0.9322 | 0.2913 | 0.000000 | 0.000000 |
| 2459523 | digital_ok | 100.00% | - | - | - | 100.00% | 0.00% | 7.655852 | 7.423464 | 19.570987 | 20.362602 | 11.498782 | 20.244628 | -5.516411 | -5.274315 | nan | nan | nan | 13.958275 | 11.034817 |
| 2459522 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 7.454804 | 7.338063 | 17.822791 | 17.158732 | 7.379750 | 16.249193 | -2.962658 | -1.169475 | 0.7060 | 0.6575 | 0.3230 | 2.384207 | 2.206146 |
| 2459513 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 5.498571 | 5.436054 | 9.578263 | 9.866406 | 2.510841 | 3.083517 | -1.058304 | -1.184054 | 0.0564 | 0.0420 | 0.0028 | nan | nan |
| 2459508 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 7.556750 | 9.786360 | 11.673055 | 11.213488 | 12.125491 | 10.392030 | 10.396017 | 12.468279 | 0.0766 | 0.0897 | 0.0066 | 0.000000 | 0.000000 |
| 2459505 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 79.952961 | 90.803568 | 99.208754 | 119.674854 | 123.456368 | 129.027552 | 594.164048 | 724.654891 | 0.0114 | 0.0083 | 0.0058 | 1.093710 | 1.084568 |
auto_metrics notebooks.¶html_to_display = ''
for am_html in auto_metric_htmls:
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD).
HTML(html_to_display)
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Temporal Variability | 3.273419 | 0.618663 | -0.377582 | 2.449024 | 1.633130 | 3.273419 | -0.517192 | 1.074796 | -0.345596 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Temporal Variability | 2.897371 | 0.714016 | -1.193737 | 1.712426 | 1.166692 | 2.897371 | -0.586680 | 2.594745 | -0.920724 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Shape | 1.798319 | 1.798319 | -0.913230 | 0.343503 | 0.018328 | -0.079970 | -0.794170 | 0.310181 | -0.640170 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Temporal Variability | 2.043359 | 0.519918 | -0.655613 | 0.533709 | 0.700942 | -0.480421 | 2.043359 | -0.152767 | 0.319137 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Temporal Variability | 2.308423 | -0.602293 | 0.993866 | 1.117561 | 1.467656 | -0.034987 | 2.308423 | -0.437179 | 2.196306 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | ee Temporal Discontinuties | 1.492274 | 0.021317 | 0.126679 | -0.034944 | -0.119416 | 1.257905 | 0.637851 | 0.073353 | 1.492274 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Temporal Discontinuties | 6.122019 | 0.952564 | -0.621972 | 2.280925 | 1.350793 | 2.557635 | -0.628132 | 6.122019 | 0.625261 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Temporal Discontinuties | 5.719137 | -0.377835 | 1.216001 | 0.683831 | 1.300772 | 0.140444 | 5.581816 | 0.222707 | 5.719137 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Shape | 1.165897 | 1.165897 | -1.054850 | 0.074866 | 0.059459 | 0.648701 | -0.852351 | 0.143306 | -0.624679 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Temporal Variability | 2.636684 | -0.265552 | 0.633971 | 1.515072 | 1.600675 | -0.865092 | 2.636684 | -0.632366 | 2.212752 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Power | 10.122720 | 2.134764 | -0.220426 | 10.122720 | 8.760639 | -23.858603 | -23.333991 | -4.393628 | -4.675000 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Temporal Discontinuties | 2.190887 | -0.473549 | 0.097588 | 0.445514 | 0.792937 | 0.142719 | 2.050232 | -0.612665 | 2.190887 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Shape | 2.101878 | 1.557455 | 2.101878 | 0.637788 | 0.917850 | 0.003392 | -0.149006 | 0.363489 | 0.012953 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Temporal Discontinuties | 38.499307 | 4.793216 | 5.212639 | 9.157370 | 6.643156 | 12.894364 | 23.312767 | 38.340952 | 38.499307 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Temporal Variability | 5.334683 | -0.713861 | 0.346589 | 3.132386 | 3.666543 | 1.571621 | 5.334683 | -0.935321 | -0.074224 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Temporal Variability | 6.299499 | 0.883520 | -0.441358 | 2.976359 | 3.042280 | 6.299499 | 2.287666 | -0.412364 | -1.075550 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Temporal Variability | 5.266905 | -0.572799 | 0.552144 | 2.560611 | 3.347292 | 1.732948 | 5.266905 | -0.803137 | -0.122395 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Temporal Variability | 6.160685 | 0.669095 | -0.573160 | 3.560966 | 3.475046 | 6.160685 | 2.595936 | 3.183537 | -0.424777 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Temporal Variability | 6.094885 | -0.385160 | 0.903664 | 4.100284 | 4.034927 | 2.367148 | 6.094885 | -1.025354 | 1.190005 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Shape | 1.733606 | 0.981922 | 1.733606 | 0.428343 | 1.073934 | -0.335631 | 0.991429 | -0.247429 | -0.665770 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Temporal Variability | 5.034778 | 0.469591 | 0.554592 | 2.959992 | 2.445020 | 5.034778 | 1.519363 | 1.677551 | -0.741727 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Temporal Variability | 2.894572 | 0.020298 | -0.475445 | 1.764548 | 1.682772 | 2.894572 | 1.336615 | -0.888420 | -1.054683 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Temporal Variability | 2.275272 | -0.755668 | 0.940300 | 1.559699 | 1.678672 | 0.542208 | 2.275272 | -0.785426 | 1.545483 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Temporal Discontinuties | 7.515283 | 2.522527 | 0.392886 | 4.856922 | 4.208720 | 7.155092 | 1.953106 | 7.515283 | -0.102657 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Temporal Discontinuties | 5.174797 | 2.493503 | -0.160251 | 1.898075 | 1.779406 | 3.555433 | 1.002686 | 5.174797 | -0.386140 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Shape | 1.455601 | 1.455601 | 0.970760 | 0.881245 | 0.448117 | 1.322016 | -0.539704 | -0.225034 | -0.407379 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Temporal Variability | 0.407055 | 0.371417 | 0.378130 | 0.214532 | 0.324690 | -0.028644 | 0.407055 | -0.484897 | -0.022734 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Power | 2.243508 | 1.293119 | -0.624656 | 2.243508 | 1.915757 | 1.356200 | 1.080874 | 2.008220 | 1.098217 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Temporal Variability | 4.862859 | 1.641686 | -0.327761 | 3.007506 | 2.624302 | 4.862859 | 1.504551 | 3.684776 | -0.457361 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Power | 4988647.454360 | 126326.874038 | 101145.661413 | 4988647.454360 | 4974095.770800 | nan | nan | -5.052525 | -5.052525 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | ee Power | 2.903660 | 2.464953 | 2.529044 | 2.903660 | 2.841897 | 0.216955 | 0.144197 | -1.776553 | -0.559654 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Power | 24.242722 | 6.450163 | 6.442283 | 24.063451 | 24.242722 | 13.081125 | 16.402177 | -1.435097 | -0.411220 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | ee Shape | 1.446674 | 1.446674 | 1.424022 | 1.015320 | 1.007338 | -0.074996 | 0.116328 | -1.328722 | -0.544838 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | ee Shape | 2.077630 | 2.077630 | 2.031508 | 1.584806 | 1.650896 | 0.348587 | 0.628793 | -1.879060 | -1.410838 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Shape | 1.701652 | 1.598893 | 1.701652 | 1.178354 | 1.410447 | 0.355794 | 1.000025 | -1.527538 | -0.748587 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Shape | 2.347122 | 2.167892 | 2.347122 | 1.732134 | 1.856329 | 0.748640 | 1.420603 | -1.405381 | -0.678648 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Temporal Variability | 14.715036 | 7.200186 | 6.787475 | 13.091779 | 13.439053 | 14.715036 | 12.932120 | -0.368872 | -1.952685 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Temporal Variability | 22.265908 | 7.668829 | 7.565817 | 17.947460 | 17.417433 | 22.265908 | 19.450135 | 2.621171 | 0.301751 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Shape | 1.849134 | 1.849134 | 1.563298 | 1.660766 | 1.510220 | 1.132390 | 0.198311 | -0.749977 | -1.988449 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Temporal Variability | 15.988991 | 5.946389 | 6.301366 | 12.920064 | 13.221998 | 13.875894 | 15.988991 | -2.123480 | -0.272305 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Power | 26.436767 | 6.660328 | 6.651196 | 26.436767 | 25.728561 | 1.102999 | 0.443994 | 1.148341 | -1.978626 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | ee Power | 15.998377 | 5.678920 | 6.070989 | 15.525184 | 15.998377 | 12.158634 | 10.079441 | 5.266539 | 4.166427 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | ee Shape | 3.228782 | 3.170347 | 3.228782 | 2.905563 | 3.031517 | 1.684114 | 0.995335 | 0.364893 | -0.932713 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Temporal Variability | 21.820278 | 9.590983 | 8.942000 | 21.566303 | 21.212976 | 21.820278 | 20.162004 | -1.036237 | -3.483466 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Power | 2.572815 | 2.245546 | 2.333274 | 2.414075 | 2.572815 | 2.498965 | 1.520463 | -0.601468 | -0.329197 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Shape | 2.102825 | 2.102825 | 1.781800 | 1.764199 | 1.567148 | 0.493932 | -0.307319 | -0.152819 | -1.245203 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Temporal Variability | 14.888935 | 7.077486 | 7.139714 | 13.599700 | 13.690179 | 11.960042 | 14.888935 | -2.513334 | -0.810689 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | ee Power | 17.733643 | 8.289695 | 8.319445 | 17.733643 | 17.404728 | 14.766171 | 17.626252 | -2.164672 | -1.427013 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Shape | 1.936317 | 1.936317 | 1.698810 | 1.434573 | 1.377167 | 1.225791 | 0.320384 | 0.059993 | -1.469955 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | ee Temporal Variability | 28.623999 | 7.729263 | 8.905247 | 14.461365 | 14.457115 | 28.623999 | 24.676907 | -1.774424 | -0.199581 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Power | 20.362602 | 7.655852 | 7.423464 | 19.570987 | 20.362602 | 11.498782 | 20.244628 | -5.516411 | -5.274315 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | ee Power | 17.822791 | 7.338063 | 7.454804 | 17.158732 | 17.822791 | 16.249193 | 7.379750 | -1.169475 | -2.962658 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Power | 9.866406 | 5.436054 | 5.498571 | 9.866406 | 9.578263 | 3.083517 | 2.510841 | -1.184054 | -1.058304 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Temporal Discontinuties | 12.468279 | 9.786360 | 7.556750 | 11.213488 | 11.673055 | 10.392030 | 12.125491 | 12.468279 | 10.396017 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | ee Temporal Discontinuties | 1715.464625 | 85.321999 | 90.632868 | 148.925876 | 142.026241 | 69.155469 | 42.848675 | 1715.464625 | 1326.509752 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 4 | digital_ok | nn Temporal Discontinuties | 724.654891 | 90.803568 | 79.952961 | 119.674854 | 99.208754 | 129.027552 | 123.456368 | 724.654891 | 594.164048 |